基于粒子群算法优化PID的海上风电柔直并网系统调频控制  

Frequency Regulation Control of Offshore Wind Power Flexible and Direct Grid-connected System Based on Particle Swarm Optimization PID

作　　者：杨强 仲卫 谢善益 周刚 YANG Qiang;ZHONG Wei;XIE Shan-yi;ZHOU Gang(Electric Power Research Institute of Guangdong Power Grid Co.,Ltd.,Guangzhou 510080 China;NARI-TECH Nanjing Control Systems Ltd,Nanjing 215200 China)

机构地区：[1]广东电网有限责任公司电力科学研究院,广东广州510080 [2]国电南瑞南京控制系统有限公司,江苏南京215200

出　　处：《自动化技术与应用》2024年第8期144-148,共5页Techniques of Automation and Applications

基　　金：南方电网有限责任公司科技项目(GDKJXM20201996)。

摘　　要：针对海上风电柔直并网系统存在电压以及频率失稳的问题,提出基于粒子群算法优化PID的海上风电柔直并网系统调频控制方法。海上风电柔直并网系统利用频率控制器确定风电场的无功电流指令,利用PID控制器将无功电流值依据比例精准划分至各风机中,采用粒子群算法优化PID控制器,获取PID控制器的最优比例增益、微分增益以及积分增益三个参数,PID控制器利用获取的最优参数进行海上风电柔直并网系统调频控制。实验结果表明,所提方法可以高精度进行海上风电柔直并网系统实施调频控制,可以使海上风电场柔直并网系统维持稳定的运行状态。Aiming at the problem of voltage and frequency instability in offshore wind power flexible direct grid connection system,a frequency modulation control method of offshore wind power flexible direct grid connection system based on Particle Swarm Optimization PID is proposed.The offshore wind power flexible direct grid connection system uses the frequency controller to determine the reactive current command of the wind farm,uses the PID controller to accurately divide the reactive current value into each fan according to the proportion,and uses the particle swarm optimization algorithm to optimize the PID controller to obtain the three parameters of the optimal proportional gain,micro gain and integral gain of the PID controller.The PID controller uses the obtained optimal parameters to control the frequency modulation of the offshore wind power flexible direct grid connection system.The experimental results show that this method can carry out frequency modulation control of offshore wind power flexible direct grid connection system with high precision,and can maintain the stable operation state of offshore wind power flexible direct grid connection system.

关 键 词：粒子群算法 PID 优化 海上风电 柔直并网系统 调频控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] TM761[自动化与计算机技术—控制科学与工程]